Development and validation of a physical fitness test and maintenance standards for Canadian Forces diving personnel
Bibliographic record
Abstract
The purpose of this research project was to develop and validate a physical fitness test battery and maintenance standards for Canadian Forces diving personnel. Four dive groups were studied including: Clearance; Ship's Team; Port Inspection; and Cbt divers. Seven sub-studies were conducted during the development and validation of the Canadian Forces Diver Physical Fitness Test (CF DPFT) and standards: 1) development of a preliminary test battery; 2) validation of the finalized test battery; 3) physiological demands comparison between field tasks and a simulated circuit; 4) development of the minimal standards for land-based activities; 5) development of the minimal standards for water-based activities; 6) determination of test-retest reliability; and 7) an assessment of adverse impact. The CF DPFT was developed and validated through various sources of information, including: feedback from subject matter experts; literature reviews; physiological measurements; interviews; focus groups; observations; and video analyses. The proposed CF DPFT provides a valid assessment of the minimum level of fitness CF diving personnel require in order to complete all CF-related diving duties safely and efficiently.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".